Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
Anime
Waifu
2D
nitrosocke
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Ghibli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Ghibli with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Ghibli", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5f4dae324620b7072628dc51c4048ce8ebd11af4515ca886f921ff6d02392ac7
- Size of remote file:
- 335 MB
- SHA256:
- e9820e4a6a4b2a219adce74ec79dd817c939eeb777d734952e8cdc7baed72b1a
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